At A Glance
Trustworthy AI depends on AI data governance. Automated systems rely on governed data that is accurate, fresh, consented, and interoperable at every stage. Without governance at the data foundation, organizations lack visibility, accountability and confidence in AI-driven decisions. Responsible automation begins with privacy-first data governance that supports transparency, compliance, and long-term sustainability.Why AI data governance determines trust in automated decisions
AI is reshaping audience strategy, media investment, and measurement. Automated systems now make more decisions at scale and in real time. Trust in those decisions depends on the data that informs them.
AI data governance provides the framework that allows organizations to answer foundational questions like:
- Which information or inputs guided this decision?
- Is the model respecting consumer rights?
- Could bias be influencing the outcome?
- If AI made the wrong call, how would we know?
Without governed data, these questions remain unanswered. AI data governance creates accountability by establishing quality controls, consent validation and auditability before data enters automated systems.
Most organizations are still building their readiness to govern data at scale. Many vendors highlight “fast insights” or “transparent reporting,” but few can support true data governance — the auditability, privacy-by-design, quality controls, and continuous compliance required for responsible AI.
That foundation is where responsible automation begins. And it’s why trust in AI starts with data governance.
Responsible automation begins with governed data
Automation produces reliable outcomes only when data is accurate, current, consented and interoperable. AI data governance makes responsible automation possible by applying controls before data reaches models, workflows, or activation channels.
AI systems may interpret context, predict signals, and act in real time. But no model, logic layer, or LLM can be responsible if the data feeding it isn’t governed responsibly from the start.
This raises a core question: How do we ensure AI systems behave responsibly, at scale, across every channel and workflow?
The answer begins with trust. And trust begins with AI data governance.
Governing the data foundation for responsible AI
Experian’s role in AI readiness begins at the data foundation. Our focus is on rigorously governing the data foundation so our clients have inputs they can trust. AI data governance at Experian includes:
By governing data at the source, we give our clients a transparent, accurate, and compliant starting point. Clients maintain responsibility for bias review within their own AI or LLM systems — but they can only perform those reviews effectively when the inputs are governed from the start.
This is how AI data governance supports responsible automation downstream.
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Privacy-by-design strengthens AI data governance
Privacy gaps compound quickly when AI is involved. Once data enters automated workflows, errors or compliance issues become harder, and sometimes impossible, to correct. AI data governance addresses this risk through privacy-first design.
Experian privacy-first AI data governance through:
- Consent-based, regulated identity resolution
- A signal-agnostic identity foundation that avoids exposing personal identifiers
- Ongoing validation and source verification before every refresh and delivery
- Compliance applied to each delivery, with opt-outs and deletes reflected immediately
- Governed attributes provided to clients, ensuring downstream applications remain compliant as data and regulations evolve
Experian doesn’t govern our client’s AI. We govern the data their AI depends on, giving them confidence that what they load into any automated system meets the highest privacy and compliance standards.
Good data isn’t just accurate or fresh. Good data is governed data.
How AI data governance supports responsible automation at scale
With AI data governance in place, organizations can build AI workflows that behave responsibly, predictably, and in alignment with compliance standards.
Responsible automation emerges through four interconnected layers:
Together, these layers show how data governance enables AI governance.
AI integrity starts with AI data governance
Automation is becoming widely accessible, but responsible AI still depends on governed data.
Experian provides AI data governance to ensure the data that powers your AI workflows is accurate, compliant, consented, and refreshed with up-to-date opt-out and regulatory changes. That governance carries downstream, giving our clients confidence that their automated systems remain aligned with consumer expectations and regulatory requirements.
We don’t build your AI. We enable it — by delivering the governed data it needs.
Experian brings identity, insight, and privacy-first governance together to help marketers reach people with relevance, respect, and simplicity.
Responsible AI starts with responsible data. AI data governance is the foundation that supports everything that follows.
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About the author
Jeremy Meade
VP, Marketing Data Product & Operations, Experian
Jeremy Meade is VP, Marketing Data Product & Operations at Experian Marketing Services. With over 15 years of experience in marketing data, Jeremy has consistently led data product, engineering, and analytics functions. He has also played a pivotal role in spearheading the implementation of policies and procedures to ensure compliance with state privacy regulations at two industry-leading companies.
FAQs about AI data governance
AI data governance is the framework that manages data quality, consent, compliance and auditability before data enters AI systems.
AI decisions reflect the data used as inputs. Governance provides transparency, accountability and trust in automated outcomes.
AI data governance does not eliminate bias in models. It provides governed inputs that allow organizations to identify and address bias more effectively.
Privacy-first governance applies consent validation and compliance controls before data is activated, reducing downstream risk.
Organizations govern their AI systems. Data providers govern the data foundation that feeds those systems.
Latest posts
NEW YORK, Oct. 24, 2019 /PRNewswire/ – Tapad, part of Experian and a global leader in digital identity resolution, today announced a new partnership with Retargetly, a leading independent full stack data company. The partnership combines Tapad's cross-device identity resolution technology with Retargetly's robust data toolset, allowing brands and agencies using Retargetly's platform to seamlessly access an expanded audience across devices, without compromising precision. In addition to reach expansion, Tapad's global, privacy-safe digital cross-device solution, The Tapad Graph, enables Retargetly's brand and agency clients a more holistic digital customer journey analysis, and efficient campaign capabilities like frequency capping and online attribution. At the same time, Tapad will be able to extend its presence into the LATAM region, tapping into Retargetly's existing regional footprint. "Combining The Tapad Graph's technology with Retargetly's platform will enable customers to make holistic, data-driven decisions that increase the ROI of their campaigns," said Chris Feo, SVP of Global Data Licensing and Strategic Partnerships at Tapad. "We can now offer advertisers the value of both technologies to optimize their marketing initiatives across the globe by creating seamless experiences across multiple devices and channels." Understanding a consumer's cross-device journey is a marketing necessity. A recent study showed that 75% of consumers expect a consistent experience from brands1. With the number of devices per individual rapidly increasing, digital identity resolution becomes essential to create that streamlined experience consumers crave. "Similarly to Tapad, our goal is to offer marketers a suite of products that can increase the ROI of their campaigns," said Juan Amuchastegui, Head of Product at Retargetly. "In order to achieve this, marketers need digital cross-device identity resolution to gain attribution, acquisition and reach expansion capabilities. We chose Tapad as our partner because The Tapad Graph has differentiated global scale, and privacy-safe measures, which we knew would benefit our clients' campaigns." Santi Darmandrail, Managing Director at Retargetly added, "Across the Americas our clients choose to work with us because of our scale, our precision, and our unique approach to what data can do to transform business outcomes. In that scenario, partnering with Tapad and integrating The Tapad Graph onto our platform was really a no-brainer and we are beyond excited to be making that available for our more than 700 clients across the region." To learn more about Tapad and our digital identity resolution products, visit our identity solutions page. About Tapad Tapad, Inc. is a global leader in digital identity resolution. The Tapad Graph, and its related solutions, provide a transparent, privacy-safe approach connecting brands to consumers through their devices globally. Tapad is recognized across the industry for its product innovation, workplace culture and talent, and has earned numerous awards including One World Identity's 2019 Top 100 Influencers in Identity Award. Headquartered in New York, Tapad also has offices in Chicago, Denver, London, Oslo, Singapore and Tokyo. About Retargetly: Retargetly is the leading independent data solution from Latam. Their proprietary platform processes over 25 billion data events a month and transforms them into actionable analytics that drive business results across the board. The recently launched Retargetly Audience Platform (RAM) is the number one data exchange in Latin America, with over 1000 active buyers and millions of dollars traded every year. Regargetly provides services across Latam and has offices in Buenos Aires, Mexico City, São Paulo and New York. For more information, visit www.retargetly.com. Contact us today
NEW YORK, Oct. 16, 2019 /PRNewswire/ – Tapad, part of Experian and a global leader in digital identity resolution, and The Trade Desk, a global advertising technology leader, partnered to integrate The Trade Desk's unified ID solution in April 2019. The Trade Desk's unified ID solution's objective is to serve as a standardized cookie ID to help marketers reach more of their audience on the open internet. After an initial six month period, Tapad reports significant adoption rates and enhanced customer results since their joint integration in April. As a result of the partnership, client brands, agencies, DMPs/ DSPs, Data Providers, Mobile Networks and Measurement/Analytics Providers, saw increased match rates up to 38% and more global coverage without compromising precision. With this combined offering, Tapad's global, privacy-safe digital cross-device solution, The Tapad Graph, connects brands with consumers over 4 billion devices globally. "There is a need for digital identity solutions outside the walled gardens that can accommodate the need for both precision and scale," said Chris Feo, SVP of Strategy and Global Partnerships at Tapad. "Through our partnership with The Trade Desk, we are empowering companies to have a comparable digital identity resolution across the open web as compared to the walled garden environments." Over 25 companies who license The Tapad Graph, such as Annalect, Semasio, Retargetly, and ThinkCX, have also included The Trade Desk's unified ID solution as a key identifier in their graph output. "The vast improvement in scale that Tapad has seen illustrates the value digital identity resolution products can bring for brands," said Nate Gawel, General Manager of Data Partnerships at The Trade Desk. "We're looking forward to continuing work with Tapad to prove that the open internet can deliver the very same benefits many reserve for large platforms." Adoption of the unified ID solution allows all parties across the supply chain (SSPs, DSPs, DMPs and data providers) to utilize The Trade Desk's cookie footprint to increase their own cookie coverage across the global independent internet. For more information, please visit The Trade Desk's unified ID solution site, or https://www.experian.com/marketing/consumer-sync to learn more about Tapad's digital identity resolution products. About Tapad:Tapad, Inc. is a global leader in digital identity resolution. The Tapad Graph, and its related solutions, provide a transparent, privacy-safe approach connecting brands to consumers through their devices globally. Our one-of-a-kind Graph Select offering enables marketers the flexibility and freedom of choice to correlate devices to varied objectives, driving campaign effectiveness and business results. Tapad is recognized across the industry for its product innovation, workplace culture and talent, and has earned numerous awards including One World Identity's 2019 Top 100 Influencers in Identity Award. Headquartered in New York, Tapad also has offices in Chicago, London, Oslo, Singapore and Tokyo. About The Trade Desk:The Trade Desk™ is a technology company that empowers buyers of advertising. Through its self-service, cloud-based platform, ad buyers can create, manage, and optimize digital advertising campaigns across ad formats and devices. Integrations with major data, inventory, and publisher partners ensure maximum reach and decisioning capabilities, and enterprise APIs enable custom development on top of the platform. Headquartered in Ventura, CA, The Trade Desk has offices across North America, Europe, and Asia Pacific. To learn more, visit thetradedesk.com or follow us on Facebook, Twitter, LinkedIn and YouTube. Contact us today
What generation already has 68 million consumers, is set to be the largest generation ever, and $360 billion of disposable income? While you may think these attributes describe millennials, they are actually a portrait of Generation Z, better known as Gen Z, the newest generation that is emerging in the marketplace. Gen Z is beginning to make an impact worthy of focusing your next auto marketing campaign around. Gen Z and the automotive market Made up of consumers born after 1996, Gen Z is ready to be noticed and become a force to be reckoned with in the market. In the automotive market alone, Gen Z made up 3.8 percent of all new vehicle registrations in the first quarter of 2019. While that number may seem small, consider the fact that in 2015—just four years ago—they only made up 0.5 percent of new vehicle registrations. These are statistics that should make automotive marketers pay attention. Digital consumption of Gen Z Most marketers tend to lump Gen Z with millennials – after all, they grew up with smartphones and social media, so how different can they be than the generation that came of age with the Internet? However, unlike millennials, Gen Z is considered a true “digital generation” – performing many of life’s day-to-day activities online. This means that they do a lot of research when shopping for a product. In fact, according to the Center for Generational Kinetics, 52 percent of Gen Z has looked at online reviews for a product while shopping in-store. But how do digitally native consumers impact automotive marketers? In order to sell cars, marketers’ messages need to be relevant. Like many other generations, Gen Z interacts with brands across a number of different devices and touchpoints. They’re constantly bombarded with messages and advertisements, so much so that it becomes information overload. Auto marketing to Gen Z To create consistent messages that resonate, brands need to communicate across these different touchpoints and tell a story that is relevant to your audience. For example, you wouldn’t show an advertisement of someone buying their dream sports car to a member of Gen Z. Most of these consumers are buying their first car, so it would typically make more sense to show them ads for economical, reliable, sedans or cross-over SUVs. Historically, automotive marketers have relied exclusively on CRM data, but this strategy isn’t effective when it comes to Gen Z, the fact of the matter is that they probably haven’t purchased a car from you previously. Identity resolution and Gen Z auto marketing The recipe for marketing success with Gen Z is identity resolution – combining your first-party identity signals across channels with third-party resources, as well as advanced technology, such as machine learning and artificial intelligence, to truly create and deliver campaigns that are relevant to the youngest generation. The more knowledge marketers have on your audience, such as demographics, life events and purchase behavior, enables them to tailor the messages to the audience in a way that will cut through the noise and resonate. As more members of Gen Z come into the marketplace, automotive marketers will want to ensure they’re meeting them where they are, delivering messages that matter to them. This will help marketers not only sell more cars, but also begin to create relationships that could last for years to come. Your identity resolution partner Experian is here to help you create an identity resolution strategy that will take your automotive marketing campaigns to the next level. We help brands put real people at the center of their business by resolving fragmented identity signals. Deliver personalized, relevant messages across channels to effectively target your ideal customers. Get started with identity resolution today! Contact us today